Choroplethr BasicsAri Lamstein

Course Outline

1. Introduction

2. Choroplethr Basics

3. Variables and Vintages

4. Data Details

5. Learning More

Choroplethr Basics

• Loading the package

• Viewing example data

• Mapping example data

• Customizing maps

Choroplethr Basics

• Loading the package

• Viewing example data

• Mapping example data

• Customizing maps

library(choroplethr) library(choroplethrMaps)

VerificationCheckmark means “loaded”

install.packages vs. libraryRun library each time you load Rstudio

Choroplethr Basics

• Loading the package

• Viewing example data

• Mapping example data

• Customizing maps

?df_pop_state? Means “help”

data(df_pop_state)Load the data

View(df_pop_state)Click “region” and “value” to sort

Choroplethr Basics

• Loading the package

• Viewing example data

• Mapping example data

• Customizing maps

state_choropleth(df_pop_state)?state_choropleth

(region, value) pairs

Choroplethr Basics

• Loading the package

• Viewing example data

• Mapping example data

• Customizing maps

?state_choropleth

Customizing Maps

• Title and legend

• Scale

• Zoom

• Reference map

state_choropleth(df_pop_state)

state_choropleth(df_pop_state, title = "2012 State Population Estimates", legend = "Population")

Customizing Maps

• Title and legend

• Scale

• Zoom

• Reference map

state_choropleth(df_pop_state, num_colors = 7)

state_choropleth(df_pop_state, num_colors = 2)

state_choropleth(df_pop_state, num_colors = 1)

Customizing Maps

• Title and legend

• Scale

• Zoom

• Reference map

state_choropleth(df_pop_state, zoom = c(“california”, “oregon”, “washington”))

?state.regions

Customizing Maps

• Title and legend

• Scale

• Zoom

• Reference map

state_choropleth(df_pop_state, zoom = c(“california”, “oregon”, “washington”))

state_choropleth(df_pop_state, num_colors = 1, zoom = c(“california”, “oregon”, “washington”), reference_map = TRUE)

Choroplethr Basics

• Loading the package

• Viewing example data

• Mapping example data

• Customizing maps